Notes app full of half-baked ideas?
Built something nobody wanted?
Done betting six months on a hunch?
Should you build your idea?Validate it first.
ChatGPT will say yes to most ideas. Olune stress-tests your startup idea against real demand and competitors, then gives a straight build-or-kill verdict.
For indie SaaS and AI builders who've shipped one thing nobody wanted and don't want to do it twice.
One path, three rungs
Validate it. Build the right thing. Run it.
- Free, no card
Validate
Real Reddit and HN threads, monthly search volume, a competitor map, and a straight build-or-kill verdict. Three ideas a day, free.
Test an idea → - Earned by the verdict
Build
A cook-it verdict earns the Build Kit: six deliverables assembled from the evidence behind your verdict, with pains linked to the threads they came from. Kill-it ideas do not get a kit. That is the point.
See the Build Kit → - Olune for Business
Run
When the idea becomes a company, Olune for Business is the next rung: a living model of your numbers and board-ready memos for the decisions on your desk. Open to five founding partners for now.
Olune for Business →
What Olune
actually does.
Describe your idea.
Five short questions: the idea, your background, your skills, your time and budget, and anything else. A half-baked note is enough. Olune also suggests a few variations, so you can see which one you actually believe in.
Score the keeper.
Pick the one you believe in. Olune rates it 1 to 5 on seven dimensions, each with a one-line reason. No account, no pitch deck. The point is to force a real answer instead of "they all kind of fit."
Send in the robots.
After a free sign-in, three agents fan out: one searches Reddit (through Google) and Hacker News for complaints, one searches Google and Product Hunt for rivals, one pulls monthly search volume. Then you get the verdict (cook it, sleep on it, or kill it) with the evidence it used.
- ↗Pain: vets on Reddit complaining about chasing unpaid bills
- ↗Competitors: 2 found, neither built for vet clinics
- ↗Demand: 2,300 searches a month
- ↘Risk: clinics already pay for practice software
Three teardowns. One of each.
See all verdicts →Editorial teardowns from the Verdict library, scored on the same seven dimensions. Tap one to read the full breakdown.
- ↗Vet subreddits and Facebook groups are full of posts about spending two hours every night finishing records. The pain is named, repeated, and emotional.
- ↗The well-funded scribes (Abridge, Nuance DAX) chase hospital systems and human doctors. Vet practice-management incumbents have not shipped ambient AI. The lane is open.
- ~Search volume for "veterinary scribe software" is modest. This is sold, not searched, so distribution leans on practice networks and conferences, not SEO.
- ↗"SOC 2 automation" and "get SOC 2 compliant" show steady commercial-intent volume. The market is educated and actively buying.
- ↘Vanta and Drata dominate, with auditor partnerships and large integration catalogues. The category default is already set.
- ~Founders complain about incumbent pricing and bloat, which hints at a budget-tier or niche wedge, but nobody is desperate for a fifth generic option.
- ↘Hundreds of meal-planning apps already exist, plus free general chatbots that do it on request. The category is saturated and commoditised.
- ~Search volume is huge but informational ("meal plan ideas") not commercial. People want the free answer, not a subscription.
- ↘Reviews of existing apps are full of churn and people who simply stopped using it. Engagement collapses after the novelty week.
What you walk away with. No fluff.
Hover to pull one off the pile
Real user complaints.
Links to the threads where people complain. Words in quotation marks are copied from the search result; anything else is labelled as our summary.
Monthly search volume.
Google search data, so you know whether anyone is actually looking for this.
A competitor map.
Who is already shipping it, from Google and Product Hunt searches, so you do not rebuild something that already exists.
An honest verdict.
Cook it, sleep on it, or kill it. No "interesting potential," no participation trophies.
Evidence you can check.
Every thread links to the result we found it in, and so does every competitor we found a link for. Go check it yourself, do not just trust us.
Three free ideas a day.
No card, no commitment. Try it before you trust it.
The Build Kit · Earned, not auto-generated
A cook-it verdict earns the Build Kit.
Six deliverables assembled from the evidence behind your verdict: an ICP and pain map built from the real threads, a competitor-gap map, a demand brief, a riskiest-assumption test plan, smoke-test landing copy, and an interview script. Pains link to the thread they came from, anything the evidence does not cover is labeled an assumption, and a kill-it idea gets none of it. Other tools ship you nine artifacts for any idea. We think that is the bug, not the feature.
See what is in it, with worked examples →Just want to DIY it?
Here's the prompt.
I'm thinking about building [YOUR IDEA]. Score it 1-5 across these seven dimensions: pain, fit, reach, willingness-to-pay, advantage, buildability, competition. Be brutally honest. Don't hedge. End with a verdict: cook it, sleep on it, or kill it. Explain why.
You'll get back something like:
“Great idea! I'd score it 4/5 on pain, there's clearly a gap in the market. 4/5 on fit too, your background aligns well…”
The LLM does not know if there is a gap. Unless it searches, it answers from memory, and it has no search volume data. It was trained to agree with you, and it usually will.
Olune uses an LLM too. It reads the evidence first.
A sparring partner,
not a cheerleader.
ChatGPT brainstorms with you. It was trained to be helpful, which mostly means agreeable. Ask it if your idea is good and it will find ten reasons it might be.
Olune uses an LLM too, but it makes it work from real evidence: public threads where people complain about the problem, search volume showing if anyone is actually looking, competitors already in market. The rubric is built to find the problems, not soothe you.
You bring the idea. We bring the evidence.
What you do with it is on you.
Builders who've used it.
GetOlune helped me stress-test an idea before I wasted weeks building it. The startup idea scorer gave me a much clearer view of demand, risk, and whether the market was worth entering.
Aarav MehtaIndie SaaS BuilderI liked how practical the tools felt. Instead of generic startup advice, GetOlune gave me structured outputs I could actually use to compare ideas and decide what to work on next.
Nisha KapoorEarly-Stage FounderThe best part is how quickly you can go from a vague idea to a sharper opportunity. It feels like a founder research assistant built for people who don't want to overthink forever.
Rohan ShahProduct ManagerI used GetOlune to evaluate three micro-SaaS ideas, and it helped me spot the one with the clearest audience and monetization path. Super useful for early validation.
Meera IyerSolo FounderMost idea validation tools feel either too academic or too shallow. GetOlune sits nicely in the middle. Fast, structured, and founder-friendly.
Kabir SethiNo-Code BuilderThe guides and tools are especially useful for first-time founders. They make market research feel less intimidating and help people avoid building in a vacuum.
Ananya RaoStartup ConsultantI usually jump straight into building. GetOlune forced me to slow down and check whether the problem, demand, and timing made sense first. That saved me a lot of time.
Dev MalhotraTechnical FounderThe outputs are simple but surprisingly useful. I could quickly see which ideas had clearer search intent, stronger demand signals, and better content opportunities.
Priya MenonGrowth MarketerGetOlune feels made for builders with limited time. It helped me decide whether an idea deserved my nights and weekends before opening a repo.
Arjun BansalMicro-SaaS FounderI liked the combination of tools, guides, and startup glossary. It creates a nice workflow for going from research to decision-making without needing ten different tabs open.
Sara ThomasFounder-in-ResidenceThe idea scoring tool gave me a quick reality check. Some ideas looked exciting in my head, but the analysis helped me see which ones were actually worth testing.
Vikram JoshiIndie HackerGetOlune is useful for turning messy founder intuition into something more structured. It doesn't replace research, but it gives you a strong starting point.
Ishita VermaProduct Strategist
Questions builders
actually ask.
How accurate are the verdicts?
As accurate as the evidence behind them. An LLM reads your seven scores next to the search volume, competitors and public threads the research found, then makes the call. The results page shows that evidence so you can check it yourself, and two runs can differ. It is a structured second opinion, not a magic 8-ball.
What does the full output actually look like?
A verdict (Cook it, Sleep on it, or Kill it) with a 1-5 score across 7 dimensions (pain, fit, reach, willingness to pay, advantage, buildability, competition), plus the raw evidence: keyword volumes, competitor names, and links to the Reddit and Hacker News threads the research found. A cook-it verdict also earns the Build Kit: an ICP and pain map, a competitor-gap map, a demand brief, a riskiest-assumption test plan, smoke-test landing copy, and an interview script. Each is built from that evidence, pains link to their threads, and anything the evidence does not cover is labeled an assumption.
Will Olune just kill all my ideas?
No. Look at the three teardowns above: one cook, one sleep, one kill. The point is not to be brutal. It is to be honest. When an idea has legs, Olune says cook it. When it does not, you save the months you would have spent building it.
Where does the data come from?
Reddit threads found through Google search, Hacker News stories, monthly keyword search volume from DataForSEO (Google Ads data), and competitors found through Google and Product Hunt searches. We show you which threads and which rivals fed the verdict. An LLM writes the scores and the verdict, so two runs can differ.
What happens after the 3-a-day limit?
The page shows a wall asking you to come back tomorrow. If you are not signed in, it also offers a free sign-in so your work is kept. Your in-progress validation is saved, so you will not lose work. We do not auto-charge, do not ask for a card, and do not email you unsolicited.
How is this different from ChatGPT?
ChatGPT can search the web, but it has no keyword volume data, and it is trained to be helpful, which often means agreeing with you. Olune runs the same research on every idea (search volume, competitors, public Reddit and Hacker News threads), then has an LLM make the call from that evidence, with kill it as a normal answer.
Got a hunch?
Let's see if it holds.
From gut feeling to grounded answer. Three a day, free, no card.
Test an idea for free